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Chris Seymour at $ONT.L Oxford @nanopore tweets about Apple Silicon's AMX instruction set. A mysterious set of instructions now beginning to be mapped out by a group of volunteer developers. So what does Apple Silicon mean for #Bioinformatics?
As many will know, $AAPL Apple came up with their own silicon a few years ago, a branch off the @ARM 64-bit designs, of which they've been diverging ever since. The Apple M1 and M2 cores have been thoroughly reviewed in social media, but less from the optics of #Bioinformatics.
First of all, what reason did @Apple have to design their own silicon? Could they not just have adopted an @ARM design and stick to it? Well, the history of the company is full of examples of Apple wanting to do "their own thing" rather than integrating someone else's silicon...
Read 10 tweets
⏱️ Just ten more days until the release of @java 17, the next version with long-term support! To shorten the waiting time a bit, I'll do one tweet per day on a cool feature added since 11 (previous LTS), introducing just some of the changes making worth the upgrade. Let's go 🚀!
🔟 Ambigous null pointer exceptions were a true annoyance in the past. Not a problem any longer since Java 14: Helpful NPEs (JEP 358, openjdk.java.net/jeps/358) now exactly show which variable is null. A very nice improvement to #OpenJDK, previously available only in SAP's JVM. Image
9⃣ Varying load and new app instances must be started up quickly? Check out class-data sharing (CDS), whose dev exp has improved a lot with JEP 350 (Dynamic CDS Archives, Java 13); also way more classes are archiveable since Java 15. More details here: morling.dev/blog/smaller-f… Image
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